Relevant search : with applications for Solr and Elasticsearch

Relevant search with applications for Solr and Elasticsearch

Summary Relevant Search demystifies relevance work. Using Elasticsearch, it teaches you how to return engaging search results to your users, helping you understand and leverage the internals of Lucene-based search engines. About the Technology Users are accustomed to and expect instant, relevant sea...

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Bibliographic Details
Other Authors: Turnbull, Doug, author (author), Berryman, John, 1980- author (writer of foreword), Grainger, Trey, writer of foreword
Format: eBook
Language:Inglés
Published: Shelter Island, New York : Manning Publications [2016]
Edition:1st edition
Subjects:
Search engines > Programming.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631518706719
Table of Contents:
  • Intro
  • Copyright
  • Brief Table of Contents
  • Table of Contents
  • Foreword
  • Preface
  • Acknowledgments
  • About this Book
  • About the Authors
  • About the Cover Illustration
  • Chapter 1. The search relevance problem
  • Chapter 2. Search-under the hood
  • Chapter 3. Debugging your first relevance problem
  • Chapter 4. Taming tokens
  • Chapter 5. Basic multifield search
  • Chapter 6. Term-centric search
  • Chapter 7. Shaping the relevance function
  • Chapter 8. Providing relevance feedback
  • Chapter 9. Designing a relevance-focused search application
  • Chapter 10. The relevance-centered enterprise
  • Chapter 11. Semantic and personalized search
  • Appendix A. Indexing directly from TMDB
  • Appendix B. Solr reader's companion
  • Index
  • List of Figures
  • List of Tables
  • List of Listings.

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